REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 7CJfpRV9QFPyCuQRZgrZjgdUfsH53fHrXEuQsmh1W5K9
F
Behavioral Grade
F
11 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
7CJfpRV9QFPyCuQRZgrZjgdUfsH53fHrXEuQsmh1W5K9
At your current pace, your capital halves every 2.2 days.
Your brain cost you
353.6 SOL
$27.5k behavioral damage
Survival prob.
0%
170 wins to break even
Capital half-life
2.2d
Bleed rate
1.098 SOL/hr
Win rate
18.8%
Net P&L
485.3 SOL
Win rate
18.8%
Profit factor
0.2
Tokens
223
SOL in
1.2k
SOL out
760.8
Primary
Diagnosis
58% of attributed damage came from recurring behavior, not market noise — sizing, timing, tilt.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
58%
BEHAVIOR-DRIVEN
NOISE

Estimated share of total attributed loss caused by repeatable actions: re-entry after loss, average-down escalation, and holding through terminal drawdown.

Recovered Perf.
+353.6 SOL
Catchable Losses
78 / 180
Behavioral Drag
58%
Behavioral Kill Chain
The repeatable sequence of destruction.

The autopsy does not just rank mistakes — it identifies the recurring sequence that converts a normal loss into a terminal drawdown.

Loss
180 losses
Fast re-entry
29x
Bigger size
17 tokens
Late entry
Held collapse
2.7x hold
Stages Fired
4 / 5
Fast Re-entries
29x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-230.7 SOL($17.9k)
17 tokens where later buys were 167.4x larger
Later buys on losing positions
😴
Session Fatigue
-103.2 SOL($8.0k)
After trade #7, avg P&L drops to -1.6925 SOL
Trade #1 avg: -1.6454 SOL
💎
Diamond Hand Delusion
-78.9 SOL($6.1k)
Held losers 2.7x longer than winners
Winners: 3.5h · Losers: 9.5h
Late Night Trading
-57.4 SOL($4.5k)
39 trades between 11PM–5AM
Best hours: 12AM
😤
Revenge Trading
-44.0 SOL($3.4k)
29 trades within 10 min of a loss
Win rate on these: 14%
TOTAL BEHAVIORAL DRAG
-514.2 SOL($39.9k)
CIRCADIAN PROFILE
WORST: 1PM
12a2
1a9
2a3
3a9
4a5
5a4
6a9
7a5
8a5
9a8
10a11
11a9
12p11
1p11
2p16
3p18
4p13
5p13
6p10
7p7
8p15
9p12
10p7
11p11
Night (11PM–5AM): -1.4715 SOL/trade · Day (8AM–8PM): -2.5371 SOL/trade
DISPOSITION EFFECT
2.7x
WINNER HOLD
3.5h
LOSER HOLD
9.5h
You hold losers 2.7x longer than winners.
SESSION FATIGUE
122 SESSIONS
#1
-1.6454
#2
-1.7207
#3
-2.614
#4
-2.315
#5
-3.6456
#6
-0.9233
#7
-1.6925
Avg session: 1.8 trades. Dominant pattern: Loss from the Start (48%)
POST-LOSS VELOCITY
NORMAL
POST-LOSS GAP
1.6h
BASELINE GAP
1.6h
29 trades opened within 10 min of a loss. Loss rate on these: 86%
EQUITY CURVE
DISCIPLINED: +353.6 SOL
Peak: +3.165 SOL at token #4
Max drawdown: 488.5 SOL
- - - = you without 78 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 616.8 SOL (102% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 167.4x larger than first buy
→ Would save ~299.7 SOL
2
STOP BUYING ON DFLOW
107 tokens from DFLOW: 20% WR, -293.681 SOL net
→ Would save ~176.2 SOL
3
DON'T TRADE 1PM–4PM
Late-night avg: -1.4715 SOL vs -2.5371 daytime
→ Would save ~57.4 SOL
4
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 86% vs 81% baseline
→ Would save ~44.0 SOL
5
AVOID TRADING ON SATS
SAT avg: -3.7605 SOL across 15 trades
→ Would save ~39.5 SOL
Select a token for AI-narrated forensic analysis
Individual Token Autopsies
Forensic breakdown of 5 autopsied tokens — winners and losers. Open any for the full report, or trade directly.
5xbQ...pump
Never sold. Still holding. Still hoping.
The Bag Holder
32.6 SOL
-100.0%
9.0/10
Full autopsy →
4orG...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
17.8 SOL
-80.3%
6.0/10
Full autopsy →
n6TR...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
15.5 SOL
-100.0%
6.0/10
Full autopsy →
J1KN...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
14.2 SOL
-95.9%
5.0/10
Full autopsy →
5ydA...pump
Never sold. Still holding. Still hoping.
The Bag Holder
13.4 SOL
-100.0%
9.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.